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| An Empirical Analysis of Fairness Notions under Differential Privacy | Feb 6, 2023 | Fairness | —Unverified | 0 | 0 |
| An Empirical Investigation of Learning from Biased Toxicity Labels | Oct 4, 2021 | Fairness | —Unverified | 0 | 0 |
| An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness | Sep 29, 2021 | Adversarial RobustnessFairness | —Unverified | 0 | 0 |
| An Empirical Study of Modular Bias Mitigators and Ensembles | Feb 1, 2022 | Ensemble LearningFairness | —Unverified | 0 | 0 |
| Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification | Jul 31, 2020 | FairnessText Simplification | —Unverified | 0 | 0 |
| An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation | Jun 18, 2024 | FairnessImage Segmentation | —Unverified | 0 | 0 |
| An Empirical Study on the Fairness of Pre-trained Word Embeddings | Jul 1, 2022 | FairnessWord Embeddings | —Unverified | 0 | 0 |
| An Epistemic Approach to the Formal Specification of Statistical Machine Learning | Apr 27, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
